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2026 Quantum AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of 2026's quantum AI revolution. We're seeking visionary Research Scientists to develop next-generation quantum algorithms that will redefine machine learning, cryptography, and computational modeling. This role offers unparalleled opportunities to publish breakthrough research in Nature and collaborate with Nobel laureates in our state-of-the-art facility overlooking the Bay.

Our team operates at the intersection of quantum physics, advanced mathematics, and deep learning. You'll work on projects including quantum neural networks, error-corrected quantum processors, and hybrid quantum-classical systems that will power the next decade of technological innovation.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for 2026-era applications
  • Lead cross-functional teams in developing quantum-optimized neural networks
  • Publish peer-reviewed research in top-tier journals and conferences
  • Collaborate with hardware teams to prototype quantum computing architectures
  • Develop security protocols for quantum-resistant cryptography systems
  • Mentor junior researchers and drive innovation in quantum AI methodologies
  • Secure federal and industry grants for cutting-edge quantum research

Qualifications

  • PhD in Quantum Computing, Physics, or related field (or equivalent experience)
  • 3+ years in quantum algorithm development or quantum machine learning
  • Expertise in Python, Qiskit, Cirq, and quantum circuit optimization
  • Publication record in Nature/Science or top-tier ML conferences
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with hybrid quantum-classical frameworks (e.g., PennyLane)
  • Strong background in advanced mathematics (linear algebra, topology, group theory)

Required Skills

Quantum Computing Machine Learning Python Qiskit Cryptography Neural Networks Physics Mathematics Research

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